Top 803 convolutional-neural-networks open source projects

Introduction to deep learning with Tensorflow.

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Training a deep FCN network in PyTorch to route circuit layouts

NOAA Fisheries Steller Sea Lion Population Count

Age and Gender Estimation Using Convolutional Neural Network

No description or website provided.

A facial landmarks regressor

This is a fully convolutional neural net exercise to detect houses from aerial images.

Optical character recognition of Farsi and Arabic letters

No description or website provided.

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Inception V3 for Transfer Learning on Cats and Dogs

CAPTCHA solving using Convolutional Neural Networks

Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

Road Detection from satellite images using U-Net.

Keras-Tensorflow implementation of complex-valued convolutional neural networks

An image classification app boilerplate to serve your deep learning models asap!

Source code for 1st winner of face micro-emotion competition, FG 2017.

Open Source and Free License Plate Recognition Software

Kaggle 2018 @ Human Protein Atlas Image Classification

Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

cdv.dei.uc.pt/denser/

Research internship - Image segmentation by superpixels based on PyTorch

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Medical image segmentation ( Eye vessel segmentation)

A from-scratch PyTorch implementation of "Colorful Image Colorization" by Zhang et al.

A Python-Tensorflow neural network for classifying cancer data

Deep Learning using Rectified Linear Units (ReLU)

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Recognize Digits using Deep Neural Networks in Google Chrome live!

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

A tool which implements Convolutional Neural Networks to train a predictive model to classify skin lesions.

Using deep learning to discover interpretable representations for mammogram classification and explanation

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

A tensorflow implementation of Convolutional Neural Networks for Sentence Classification

Medical image analysis framework merging ANTsPy and deep learning

A convnet classifier and hardware device to automatically sort recycling materials.

Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.

Entirety.ai Intuition to Implementation Meetup Content.

Repository for Transfer Learning using Deep CNNs trained with synthetic images

Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021

In this repository i tried to replicate a cool project by a japanese scientist who made a machine which had 100 % accuracy in defeating humans in the game of stone-paper and scissors

A Simple Deep Neural Network to classify images made with Keras

⚡ Open-source software for deep learning-based digital pathology

Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)

Colorizing B&W Photos with Neural Networks

NMA deep learning course

DeepDream psychodelic image generator.

ikintosh.github.io/gabornet/

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)

TensorFlow Implementation of Several Zero-Shot Image Style Transfer Methods